Course description.

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Section 1. Course description.

Computational Science

Professor: Olaf Schenk
Assistant: Andrey Kuzmin

Course type: Lecture
Value in ECTS: 6
Bibliographic references available on the University Library website


Academic year 2012/2013 - Spring semester

Objectives
Introduction to numerics and computational science. The role of applied mathematics in modeling scientific phenomena. Simulation and computational science.

Contents
The numeri cal simulation of real world phenomena is a challenging task, which requires a well balanced interplay between mathematics, informatics, and the application areas. This course will provide an introduction into numerics and computational science (or scientific computing), with topics ranging from basic principles in numerical mathematics and numerical analysis to examples of modern high performance algorithms. Along (simplified examples) from application areas as, e.g., mechanics and biomechanics, an overview on computational science will be combined with an introduction into topics as mathematical modelling, the analysis of methods and the development of scientific software for numerical simulation. This will be done by combining theoretical with practical exercises.

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